Sai Rajeswar

4 papers and 89 indexed citations i.

About

Sai Rajeswar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Sai Rajeswar has authored 4 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Sai Rajeswar’s work include Multimodal Machine Learning Applications (2 papers), Topic Modeling (2 papers) and Computer Graphics and Visualization Techniques (1 paper). Sai Rajeswar is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Topic Modeling (2 papers) and Computer Graphics and Visualization Techniques (1 paper). Sai Rajeswar collaborates with scholars based in Canada, India and Austria. Sai Rajeswar's co-authors include Aaron Courville, Chris Pal, Sandeep Subramanian, Francis Dutil, David Vázquez, Pau Rodríguez, Santanu Chaudhury, Derek Nowrouzezahrai, Fahim Mannan and Anupama Ray and has published in prestigious journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Sai Rajeswar i

Fields of papers citing papers by Sai Rajeswar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai Rajeswar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sai Rajeswar. The network helps show where Sai Rajeswar may publish in the future.

Countries citing papers authored by Sai Rajeswar

Since Specialization
Citations

This map shows the geographic impact of Sai Rajeswar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sai Rajeswar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Rajeswar more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025